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Updated: Jan 6, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Beyond tractography in brain connectivity mapping with dMRI morphometry and functional networks.

Jui-To Wang^1,2, Ching-Po Lin^1,3,4, Huei-Min Liu³

¹Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.

Brain Structure & Function

|September 27, 2025

Summary

Advanced brain imaging techniques like dMRI morphometry and integrated structural-functional analysis offer new insights into brain networks. These methods improve understanding of brain disorders and plasticity, with AI integration promising future clinical applications.

Keywords:

Functional MRI Functional correlation tensor Microstructure Structure-function coupling White matter

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Last Updated: Jan 6, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Published on: November 8, 2012

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

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Published on: June 13, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Area of Science:

Neuroscience
Medical Imaging
Computational Biology

Background:

Traditional studies relied on diffusion MRI (dMRI) tractography for structural connectivity and fMRI for functional connectivity.
Emerging methodologies are enhancing the understanding of complex brain networks beyond conventional approaches.

Purpose of the Study:

To explore advanced brain connectivity approaches beyond traditional tractography.
To highlight the integration of dMRI morphometry and functional connectivity analysis.
To discuss the implications for neurodevelopmental disorders, neurological conditions, and brain plasticity.

Main Methods:

Utilizing dMRI morphometry for quantitative assessment of white matter pathway volumes.
Integrating structural and functional connectivity analysis, including diffusion tensor imaging (DTI) with functional correlation tensor (FCT) analysis.
Exploring the synergy of these methods with artificial intelligence.

Main Results:

dMRI morphometry allows for quantitative evaluation of white matter integrity.
Functional connectivity analysis reveals network organization independent of direct anatomical links.
Combined approaches offer novel perspectives on brain structure-function relationships.

Conclusions:

Advanced connectivity methods provide deeper insights into brain networks and their alterations in disease.
Integration with AI holds significant potential for both basic neuroscience research and clinical applications.
These techniques are crucial for understanding neurodevelopmental and neurological disorders and brain plasticity.